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ICANN
2010
Springer
15 years 5 months ago
Model of the Hippocampal Learning of Spatio-temporal Sequences
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
Julien Hirel, Philippe Gaussier, Mathias Quoy
160
Voted
CVPR
2004
IEEE
16 years 6 months ago
Pointwise Motion Tracking in Echocardiographic Images
In this paper, we study the problem of pointwise motion tracking in echocardiographic images. We show that decorrelation between tissue motion and intensity variation is inevitabl...
Weichuan Yu, Ping Yan, Albert J. Sinusas, Karl Thi...
132
Voted
CVPR
2005
IEEE
16 years 6 months ago
Modeling and Learning Contact Dynamics in Human Motion
We propose a simple model of human motion as a switching linear dynamical system where the switches correspond to contact forces with the ground. This significantly improves the m...
Alessandro Bissacco
116
Voted
ICIP
2009
IEEE
16 years 5 months ago
Image Deconvolution By Stein Block Thresholding
In this paper, we propose a fast image deconvolution algorithm that combines adaptive block thresholding and Vaguelet-Wavelet Decomposition. The approach consists in first denoisi...
141
Voted
IROS
2009
IEEE
261views Robotics» more  IROS 2009»
15 years 10 months ago
Probabilistic motion planning among moving obstacles following typical motion patterns
— The paper presents a navigation algorithm for dynamic, uncertain environment. The static environment is unknown, while moving pedestrians are detected and tracked on-line. Pede...
Chiara Fulgenzi, Anne Spalanzani, Christian Laugie...